Can AI fix the operating room? This startup thinks so

In the realm of healthcare, the intersection of AI and robotics has captured considerable attention, yet a significant challenge persists in operating room management. Hospitals are losing valuable time daily—between two to four hours—not due to the surgical procedures themselves, but rather due to inefficiencies in scheduling and coordination. The chaos surrounding manual scheduling and uncertainty regarding room turnover significantly contribute to this problem. On a recent episode of TechCrunch's Equity podcast, Russell Brandom, the AI Editor, engaged in a compelling discussion with Conor McGinn, the co-founder and CEO of Akara. This innovative startup has garnered recognition, recently making it onto Time’s Best Inventions of 2025. Akara is pioneering a solution akin to air traffic control for hospitals, utilizing thermal sensors and advanced AI technology to enhance operational efficiency. As the healthcare industry continues to explore the potential of AI, the focus on optimizing operating room workflows could redefine surgical practices, leading to improved patient outcomes and cost savings for hospitals. For further insights, you can subscribe to the Equity podcast on platforms like YouTube, Apple Podcasts, Overcast, and Spotify, or follow them on social media at @EquityPod.